options(tigris_use_cache = TRUE)
hennepin_pop_inc.df <- get_acs(
geography = "tract",
variables = c("B01003_001E","B19013_001"), #Code for total population and median income
state = "MN",
county = "Hennepin",
year = 2020,
geometry = TRUE,
cb = FALSE
) %>%
janitor::clean_names() Warning: • You have not set a Census API key. Users without a key are limited to 500
queries per day and may experience performance limitations.
ℹ For best results, get a Census API key at
http://api.census.gov/data/key_signup.html and then supply the key to the
`census_api_key()` function to use it throughout your tidycensus session.
This warning is displayed once per session.
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|======================================================================| 100%hennepin_pop.df <- hennepin_pop_inc.df %>% filter(variable=="B01003_001")
hennepin_pop.gg <- hennepin_pop.df %>%
mutate(
tract = str_split(name, ",") %>%
map_chr(1) %>%
str_remove("Census Tract "),
text_label = str_c(
"Tract: ",
tract,
"\nPopulation: ",
round(estimate/ 1000, 0),
" K"
)
) %>%
ggplot() +
geom_sf( aes(fill = estimate,text = text_label),alpha=0.8) +
labs(title = "2020 US Census Population Estimates for Hennepin") +
theme_void() +
scale_fill_viridis_c("Population")Warning in layer_sf(geom = GeomSf, data = data, mapping = mapping, stat = stat,
: Ignoring unknown aesthetics: textggplotly(hennepin_pop.gg, tooltip = "text") %>%
style(hoveron = "fills")